Mechanistically Interpretable Artificial Intelligence for Designing Oxygen Electrocatalysts
Mechanistically interpretable artificial intelligence screens nearly seven million perovskite compositions and identifies key descriptors—d‐p hybridization and densification resistance—that govern oxygen electrocatalysis. The discovered BaCo0.8Nb0.1Zr0.1O3‐δ achieves a record 2.68 W cm−2 peak power density at 600°C with over 500 h of durable operation ...
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Simulation Training in Video-Assisted and Robotic-Assisted Cardiac Surgery: A Narrative Review. [PDF]
Nameghi FH, Ali JM.
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Bias, representation, and clinical fidelity in AI-generated images for medical education: a systematic literature review. [PDF]
Alon L, Shoval DH, Levkovich I.
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How can a remotely delivered, personalised physical activity intervention for people with high risk of breast, lung and bowel cancer recurrence be implemented in England? Protocol for a mixed-methods process evaluation embedded in a feasibility basket trial. [PDF]
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A variational framework with composite sparse regularization for cryo-electron tomography reconstruction. [PDF]
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Greater than the sum of our parts: The new division of labor in design with AI. [PDF]
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Interpretable metrics for evaluating fidelity, diversity, and privacy in synthetic EEG data
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